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ORCIDKristina Lerman
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- affiliation: University of Southern California, Information Sciences Institute, Los Angeles, USA
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2020 – today
- 2024
[c161]Zihao He, Siyi Guo, Ashwin Rao, Kristina Lerman:
Whose Emotions and Moral Sentiments do Language Models Reflect? ACL (Findings) 2024: 6611-6631- [c160]Hsien-Te Kao
, Isabel Erickson, Minh Duc Hoang Chu, Zihao He, Kristina Lerman, Svitlana Volkova:
Machine Learning Insights Into Eating Disorder Twitter Communities. CHI Extended Abstracts 2024: 233:1-233:8 - [c159]Zihao He, Ashwin Rao, Siyi Guo, Negar Mokhberian, Kristina Lerman:
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities. EACL (Findings) 2024: 1523-1536 - [c158]Keith Burghardt, Ashwin Rao, Georgios Chochlakis, Sabyasachee Baruah, Siyi Guo, Zihao He, Andrew Rojecki, Shrikanth Narayanan, Kristina Lerman:
Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. ICWSM 2024: 164-176 - [c157]Zihao He, Jonathan May, Kristina Lerman:
CPL-NoViD: Context-Aware Prompt-Based Learning for Norm Violation Detection in Online Communities. ICWSM 2024: 569-582 - [c156]Wanying Zhao, Siyi Guo, Kristina Lerman, Yong-Yeol Ahn:
Discovering Collective Narratives Shifts in Online Discussions. ICWSM 2024: 1804-1817 - [c155]Kai Chen, Zihao He, Keith Burghardt, Jingxin Zhang, Kristina Lerman:
IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict. ICWSM 2024: 1900-1912 - [c154]Negar Mokhberian, Myrl G. Marmarelis, Frederic R. Hopp, Valerio Basile, Fred Morstatter, Kristina Lerman:
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks. NAACL-HLT 2024: 7337-7349 - [i174]Siyi Guo, Zihao He, Ashwin Rao, Fred Morstatter, P. Jeffrey Brantingham, Kristina Lerman:
The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape. CoRR abs/2401.06275 (2024) - [i173]Kai Chen, Zihao He, Keith Burghardt, Jingxin Zhang, Kristina Lerman:
IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict. CoRR abs/2401.08202 (2024) - [i172]Minh Duc Chu, Aryan Karnati, Zihao He, Kristina Lerman:
Characterizing Online Eating Disorder Communities with Large Language Models. CoRR abs/2401.09647 (2024) - [i171]Zihao He, Ashwin Rao, Siyi Guo, Negar Mokhberian, Kristina Lerman:
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities. CoRR abs/2402.01091 (2024) - [i170]Gabriela Pinto, Keith Burghardt, Kristina Lerman, Emilio Ferrara:
GET-Tok: A GenAI-Enriched Multimodal TikTok Dataset Documenting the 2022 Attempted Coup in Peru. CoRR abs/2402.05882 (2024) - [i169]Zihao He, Siyi Guo, Ashwin Rao, Kristina Lerman:
Whose Emotions and Moral Sentiments Do Language Models Reflect? CoRR abs/2402.11114 (2024) - [i168]Kai Chen, Zihao He, Jun Yan, Taiwei Shi, Kristina Lerman:
How Susceptible are Large Language Models to Ideological Manipulation? CoRR abs/2402.11725 (2024) - [i167]Abhishek Anand, Negar Mokhberian, Prathyusha Naresh Kumar, Anweasha Saha, Zihao He, Ashwin Rao, Fred Morstatter, Kristina Lerman:
Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations. CoRR abs/2403.04085 (2024) - [i166]Buddhika Nettasinghe, Allon G. Percus, Kristina Lerman:
Dynamics of Affective Polarization: From Consensus to Partisan Divides. CoRR abs/2403.16940 (2024) - [i165]Georgios Chochlakis, Alexandros Potamianos, Kristina Lerman, Shrikanth Narayanan:
The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition. CoRR abs/2403.17125 (2024) - [i164]Charles Bickham, Kia Kazemi-Nia, Luca Luceri, Kristina Lerman, Emilio Ferrara:
Hidden in Plain Sight: Exploring the Intersections of Mental Health, Eating Disorders, and Content Moderation on TikTok. CoRR abs/2404.15457 (2024) - [i163]Keith Burghardt, Kai Chen, Kristina Lerman:
Large Language Models Reveal Information Operation Goals, Tactics, and Narrative Frames. CoRR abs/2405.03688 (2024) - [i162]Siyi Guo, Keith Burghardt, Valeria Pantè, Kristina Lerman:
SoMeR: Multi-View User Representation Learning for Social Media. CoRR abs/2405.05275 (2024) - [i161]Daniel Hickey, Daniel M. T. Fessler, Kristina Lerman, Keith Burghardt:
The Peripatetic Hater: Predicting Movement Among Hate Subreddits. CoRR abs/2405.17410 (2024) - [i160]Keith Burghardt, Daniel Fessler, Chyna Tang, Anne Pisor, Kristina Lerman:
Trust and Terror: Hazards in Text Reveal Negatively Biased Credulity and Partisan Negativity Bias. CoRR abs/2405.17838 (2024) - [i159]Daniel Hickey, Matheus Schmitz, Daniel Fessler, Paul E. Smaldino, Kristina Lerman, Goran Muric, Keith Burghardt:
Hostile Counterspeech Drives Users From Hate Subreddits. CoRR abs/2405.18374 (2024) - [i158]Rebecca Dorn, Lee Kezar, Fred Morstatter, Kristina Lerman:
Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias. CoRR abs/2406.00020 (2024) - [i157]Ashwin Rao, Nazanin Sabri, Siyi Guo, Louiqa Raschid, Kristina Lerman:
#EpiTwitter: Public Health Messaging During the COVID-19 Pandemic. CoRR abs/2406.01866 (2024) - [i156]Zihao He, Rebecca Dorn, Siyi Guo, Minh Duc Chu, Kristina Lerman:
COMMUNITY-CROSS-INSTRUCT: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities. CoRR abs/2406.12074 (2024) - [i155]Cinthia Sánchez, Minh Duc Chu, Zihao He, Rebecca Dorn, Stuart Murray, Kristina Lerman:
Feelings about Bodies: Emotions on Diet and Fitness Forums Reveal Gendered Stereotypes and Body Image Concerns. CoRR abs/2407.03551 (2024) - 2023
- [j49]Rumi Ghosh, Kristina Lerman, Tawan Surachawala, Konstantin Voevodski, Shang-Hua Teng:
Non-conservative diffusion and its application to social network analysis. J. Complex Networks 12(1) (2023) - [c153]Ashwin Rao, Fred Morstatter, Kristina Lerman:
Retweets Amplify the Echo Chamber Effect. ASONAM 2023: 30-37 - [c152]Siyi Guo, Zihao He, Ashwin Rao, Eugene Jang, Yuanfeixue Nan, Fred Morstatter, P. Jeffrey Brantingham, Kristina Lerman:
Measuring Online Emotional Reactions to Events. ASONAM 2023: 315-319 - [c151]Nathan Bartley, Keith Burghardt, Kristina Lerman:
Evaluating Content Exposure Bias in Social Networks. ASONAM 2023: 379-383 - [c150]Ashwin Rao, Siyi Guo, Sze-Yuh Nina Wang, Fred Morstatter, Kristina Lerman:
Pandemic Culture Wars: Partisan Differences in the Moral Language of COVID-19 Discussions. IEEE Big Data 2023: 413-422 - [c149]Zihao He, Weituo Hao, Wei Tsung Lu, Changyou Chen, Kristina Lerman, Xuchen Song:
ALCAP: Alignment-Augmented Music Captioner. EMNLP 2023: 16501-16512 - [c148]Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan:
Leveraging Label Correlations in a Multi-Label Setting: a Case Study in Emotion. ICASSP 2023: 1-5 - [c147]Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan:
Using Emotion Embeddings to Transfer Knowledge between Emotions, Languages, and Annotation Formats. ICASSP 2023: 1-5 - [c146]Homa Hosseinmardi, Amir Ghasemian, Kristina Lerman, Shrikanth Narayanan, Emilio Ferrara:
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction. ICHI 2023: 91-100 - [c145]Julie Jiang, Kristina Lerman, Emilio Ferrara:
Zero-Shot Meta-Learning for Small-Scale Data From Human Subjects. ICHI 2023: 311-320 - [c144]Siyi Guo, Negar Mokhberian, Kristina Lerman:
A Data Fusion Framework for Multi-Domain Morality Learning. ICWSM 2023: 281-291 - [c143]Rong-Ching Chang, Ashwin Rao, Qiankun Zhong, Magdalena Wojcieszak, Kristina Lerman:
#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy. ICWSM 2023: 997-1005 - [c142]Kai Chen, Zihao He, Rong-Ching Chang, Jonathan May, Kristina Lerman:
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. SBP-BRiMS 2023: 44-53 - [c141]Rong-Ching Chang, Jonathan May, Kristina Lerman:
Feedback Loops and Complex Dynamics of Harmful Speech in Online Discussions. SBP-BRiMS 2023: 85-94 - [i154]Christopher Tran, Keith Burghardt, Kristina Lerman, Elena Zheleva:
Data-Driven Estimation of Heterogeneous Treatment Effects. CoRR abs/2301.06615 (2023) - [i153]Rebecca Dorn, Yiwen Ma, Fred Morstatter, Kristina Lerman:
Gender and Prestige Bias in Coronavirus News Reporting. CoRR abs/2301.11994 (2023) - [i152]Rong-Ching Chang, Ashwin Rao, Qiankun Zhong, Magdalena Wojcieszak, Kristina Lerman:
#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy. CoRR abs/2302.01439 (2023) - [i151]Rebecca Dorn, Julie Jiang, Jeremy Abramson, Kristina Lerman:
Non-Binary Gender Expression in Online Interactions. CoRR abs/2303.04837 (2023) - [i150]Siyi Guo, Negar Mokhberian, Kristina Lerman:
A Data Fusion Framework for Multi-Domain Morality Learning. CoRR abs/2304.02144 (2023) - [i149]Haochen Pi, Keith Burghardt, Allon G. Percus, Kristina Lerman:
Clique Densification in Networks. CoRR abs/2304.03479 (2023) - [i148]Zihao He, Jonathan May, Kristina Lerman:
CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities. CoRR abs/2305.09846 (2023) - [i147]Kristina Lerman, Aryan Karnati, Shuchan Zhou, Siyi Chen, Sudesh Kumar, Zihao He, Joanna Yau, Abigail Horn:
Radicalized by Thinness: Using a Model of Radicalization to Understand Pro-Anorexia Communities on Twitter. CoRR abs/2305.11316 (2023) - [i146]Keith Burghardt, Ashwin Rao, Siyi Guo, Zihao He, Georgios Chochlakis, Sabyasachee Baruah, Andrew Rojecki, Shri Narayanan, Kristina Lerman:
Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. CoRR abs/2305.11867 (2023) - [i145]Ashwin Rao, Siyi Guo, Sze-Yuh Nina Wang, Fred Morstatter, Kristina Lerman:
Pandemic Culture Wars: Partisan Asymmetries in the Moral Language of COVID-19 Discussions. CoRR abs/2305.18533 (2023) - [i144]Wanying Zhao, Fiona Guo, Kristina Lerman, Yong-Yeol Ahn:
Discovering collective narratives shifts in online discussions. CoRR abs/2307.08541 (2023) - [i143]Siyi Guo, Zihao He, Ashwin Rao, Eugene Jang, Yuanfeixue Nan, Fred Morstatter, P. Jeffrey Brantingham, Kristina Lerman:
Measuring Online Emotional Reactions to Offline Events. CoRR abs/2307.10245 (2023) - [i142]Dan Feldman, Ashwin Rao, Zihao He, Kristina Lerman:
Affective Polarization in Social Networks. CoRR abs/2310.18553 (2023) - [i141]Zihao He, Siyi Guo, Ashwin Rao, Kristina Lerman:
Inducing Political Bias Allows Language Models Anticipate Partisan Reactions to Controversies. CoRR abs/2311.09687 (2023) - [i140]Negar Mokhberian, Myrl G. Marmarelis, Frederic R. Hopp, Valerio Basile, Fred Morstatter, Kristina Lerman:
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks. CoRR abs/2311.09743 (2023) - [i139]Ashwin Rao, Rong-Ching Chang, Qiankun Zhong, Kristina Lerman, Magdalena Wojcieszak:
Tracking a Year of Polarized Twitter Discourse on Abortion. CoRR abs/2311.16831 (2023) - 2022
- [j48]Goran Muric, Alexey Tregubov, Jim Blythe, Andrés Abeliuk, Divya Choudhary, Kristina Lerman, Emilio Ferrara:
Large-scale agent-based simulations of online social networks. Auton. Agents Multi Agent Syst. 36(2): 38 (2022) - [j47]Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan:
A Survey on Bias and Fairness in Machine Learning. ACM Comput. Surv. 54(6): 115:1-115:35 (2022) - [j46]Yuzi He, Keith A. Burghardt, Kristina Lerman:
Leveraging change point detection to discover natural experiments in data. EPJ Data Sci. 11(1): 49 (2022) - [j45]Keith Burghardt, Johannes H. Uhl, Kristina Lerman, Stefan Leyk:
Road network evolution in the urban and rural United States since 1900. Comput. Environ. Urban Syst. 95: 101803 (2022) - [c140]Yuzi He, Keith Burghardt, Siyi Guo, Kristina Lerman:
Learning Fairer Interventions. AIES 2022: 317-323 - [c139]Negar Mokhberian, Frederic R. Hopp, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman:
Noise Audits Improve Moral Foundation Classification. ASONAM 2022: 147-154 - [c138]Kristina Lerman:
The Social Emotional Web. CIC 2022: 26-30 - [c137]Siyi Guo, Keith Burghardt, Ashwin Rao, Kristina Lerman:
Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic. ICWSM Workshops 2022 - [c136]Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara:
Assessing Scientific Research Papers with Knowledge Graphs. SIGIR 2022: 2467-2472 - [c135]Zihao He, Negar Mokhberian, Kristina Lerman:
Infusing Knowledge from Wikipedia to Enhance Stance Detection. WASSA@ACL 2022: 71-77 - [i138]Keith Burghardt, Kristina Lerman:
Emergent Instabilities in Algorithmic Feedback Loops. CoRR abs/2201.07203 (2022) - [i137]Ashwin Rao, Fred Morstatter, Kristina Lerman:
Partisan Asymmetries in Exposure to Misinformation. CoRR abs/2203.01350 (2022) - [i136]Siyi Guo, Keith Burghardt, Ashwin Rao, Kristina Lerman:
Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic. CoRR abs/2203.03608 (2022) - [i135]Julie Jiang, Kristina Lerman, Emilio Ferrara:
Zero-shot meta-learning for small-scale data from human subjects. CoRR abs/2203.16309 (2022) - [i134]Zihao He, Negar Mokhberian, Kristina Lerman:
Infusing Knowledge from Wikipedia to Enhance Stance Detection. CoRR abs/2204.03839 (2022) - [i133]Negar Mokhberian, Frederic R. Hopp, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman:
Noise Audits Improve Moral Foundation Classification. CoRR abs/2210.07415 (2022) - [i132]Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan:
Leveraging Label Correlations in a Multi-label Setting: A Case Study in Emotion. CoRR abs/2210.15842 (2022) - [i131]Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan:
Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats. CoRR abs/2211.00171 (2022) - [i130]Ashwin Rao, Fred Morstatter, Kristina Lerman:
Retweets Distort Exposure to Polarized Information. CoRR abs/2211.16480 (2022) - [i129]Kai Chen, Zihao He, Rong-Ching Chang, Jonathan May, Kristina Lerman:
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. CoRR abs/2212.00339 (2022) - [i128]Kristina Lerman:
The Social Emotional Web. CoRR abs/2212.03810 (2022) - 2021
- [j44]Lisette Espín-Noboa, Fariba Karimi, Bruno Ribeiro, Kristina Lerman, Claudia Wagner:
Explaining classification performance and bias via network structure and sampling technique. Appl. Netw. Sci. 6(1): 78 (2021) - [j43]Buddhika Nettasinghe, Nazanin Alipourfard, Stephen Iota, Vikram Krishnamurthy, Kristina Lerman:
Scale-free degree distributions, homophily and the glass ceiling effect in directed networks. J. Complex Networks 10(2) (2021) - [j42]Minda Hu, Ashwin Rao, Mayank Kejriwal, Kristina Lerman:
Socioeconomic Correlates of Anti-Science Attitudes in the US. Future Internet 13(6): 160 (2021) - [j41]Sandeep Soni, Kristina Lerman, Jacob Eisenstein:
Follow the leader: Documents on the leading edge of semantic change get more citations. J. Assoc. Inf. Sci. Technol. 72(4): 478-492 (2021) - [j40]Julie Jiang, Danaja Maldeniya, Kristina Lerman, Emilio Ferrara:
The Wide, the Deep, and the Maverick: Types of Players in Team-based Online Games. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 191:1-191:26 (2021) - [j39]José Luis Ambite, Lily Fierro, Jonathan Gordon, Gully A. P. C. Burns, Florian Geigl, Kristina Lerman, John D. Van Horn:
BD2K Training Coordinating Center's ERuDIte: The Educational Resource Discovery Index for Data Science. IEEE Trans. Emerg. Top. Comput. 9(1): 316-328 (2021) - [c134]Shen Yan, Hsien-Te Kao, Kristina Lerman, Shrikanth Narayanan, Emilio Ferrara:
Mitigating the Bias of Heterogeneous Human Behavior in Affective Computing. ACII 2021: 1-8 - [c133]Zihao He, Negar Mokhberian, António Câmara, Andrés Abeliuk, Kristina Lerman:
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings. EMNLP (Findings) 2021: 2102-2118 - [c132]Zihao He, Leili Tavabi, Kristina Lerman, Mohammad Soleymani:
Speaker Turn Modeling for Dialogue Act Classification. EMNLP (Findings) 2021: 2150-2157 - [c131]Yuzi He, Christopher Tran, Julie Jiang, Keith Burghardt, Emilio Ferrara, Elena Zheleva, Kristina Lerman:
Heterogeneous Effects of Software Patches in aMultiplayer Online Battle Arena Game. FDG 2021: 11:1-11:9 - [c130]J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham:
Mapping Moral Valence of Tweets Following The Killing of George Floyd. ICWSM Workshops 2021 - [c129]Yuzi He, Ashwin Rao, Keith Burghardt, Kristina Lerman:
Identifying Shifts in Collective Attention to Topics on Social Media. SBP-BRiMS 2021: 224-234 - [c128]Keith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, Kristina Lerman:
Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors. SBP-BRiMS 2021: 257-267 - [c127]Tiago Santos, Keith Burghardt, Kristina Lerman, Denis Helic:
Limiting Tags Fosters Efficiency. WebSci 2021: 46-55 - [c126]Nathan Bartley, Andrés Abeliuk, Emilio Ferrara, Kristina Lerman:
Auditing Algorithmic Bias on Twitter. WebSci 2021: 65-73 - [i127]Keith A. Burghardt, Allon G. Percus, Kristina Lerman:
A Model of Densifying Collaboration Networks. CoRR abs/2101.11056 (2021) - [i126]Julie Jiang, Kristina Lerman, Emilio Ferrara:
Individualized Context-Aware Tensor Factorization for Online Games Predictions. CoRR abs/2102.11352 (2021) - [i125]Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy, Kristina Lerman:
Emergence of Structural Inequalities in Scientific Citation Networks. CoRR abs/2103.10944 (2021) - [i124]Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy, Kristina Lerman:
A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect. CoRR abs/2103.12149 (2021) - [i123]Tiago Santos, Keith Burghardt, Kristina Lerman, Denis Helic:
Limiting Tags Fosters Efficiency. CoRR abs/2104.01028 (2021) - [i122]Zihao He, Negar Mokhberian, António Câmara, Andrés Abeliuk, Kristina Lerman:
Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings. CoRR abs/2104.07814 (2021) - [i121]J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham:
Mapping Moral Valence of Tweets Following the Killing of George Floyd. CoRR abs/2104.09578 (2021) - [i120]Nazgol Tavabi, Kristina Lerman:
Pattern Discovery in Time Series with Byte Pair Encoding. CoRR abs/2106.00614 (2021) - [i119]Nazanin Alipourfard, Keith Burghardt, Kristina Lerman:
DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data. CoRR abs/2108.13581 (2021) - [i118]Zihao He, Leili Tavabi, Kristina Lerman, Mohammad Soleymani:
Speaker Turn Modeling for Dialogue Act Classification. CoRR abs/2109.05056 (2021) - [i117]Yuzi He, Christopher Tran, Julie Jiang, Keith Burghardt, Emilio Ferrara, Elena Zheleva, Kristina Lerman:
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game. CoRR abs/2110.14632 (2021) - 2020
- [j38]Hsien-Te Kao, Shen Yan, Homa Hosseinmardi, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara:
User-Based Collaborative Filtering Mobile Health System. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(4): 165:1-165:17 (2020) - [j37]Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara:
Affect Estimation with Wearable Sensors. J. Heal. Informatics Res. 4(3): 261-294 (2020) - [j36]Keith Burghardt, Tad Hogg, Raissa M. D'Souza, Kristina Lerman, Márton Pósfai:
Origins of Algorithmic Instabilities in Crowdsourced Ranking. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 166:1-166:20 (2020) - [j35]Buddhika Nettasinghe, Vikram Krishnamurthy, Kristina Lerman:
Diffusion in Social Networks: Effects of Monophilic Contagion, Friendship Paradox, and Reactive Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 1121-1132 (2020) - [c125]Yuzi He, Keith Burghardt, Kristina Lerman:
A Geometric Solution to Fair Representations. AIES 2020: 279-285 - [c124]Goran Muric, Alexey Tregubov, Jim Blythe, Andrés Abeliuk, Divya Choudhary, Kristina Lerman, Emilio Ferrara:
Massive Cross-Platform Simulations of Online Social Networks. AAMAS 2020: 895-903 - [c123]Julie Jiang, Kristina Lerman, Emilio Ferrara:
Individualized Context-Aware Tensor Factorization for Online Games Predictions. ICDM (Workshops) 2020: 292-299 - [c122]Tiago Santos, Keith Burghardt, Kristina Lerman, Denis Helic:
Can Badges Foster a More Welcoming Culture on Q&A Boards? ICWSM 2020: 969-973 - [c121]